Volume 13 | Issue 4 |

 Abstract

In this digital world, there are numerous credit card fraud detection systems. This research aims to explore the various approaches applied in Credit Card Fraud Detection, along with the selection or pre-processing of datasets for the purpose of constructing Machine Learning, Deep Learning, and Neural Network models. Many models, including decision trees, logistic regression, neural networks, Gaussian kernels, neural networks based on mining systems, self-organizing maps, generative adversarial networks, ensemble learning, AdaBoost, majority voting, deep convolution neural network model, adversarial learning, fuzzy clustering, optimized light gradient boosting, anti-k nearest neighbor, calibrated probabilities, bidirectional Long short-term memory (BiLSTM), and bidirectional Gated recurrent, will be covered.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Credit Card Fraud Detection, Credit Card, Frauds, Machine Learning, Deep Learning, Detection, Methods, Classifiers.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In medical emergencies, receiving quick and accurate medicine recommendations is crucial, especially when healthcare professionals are unavailable. This paper presents a Drug Recommendation System that functions as a web application, offering users two treatment options: Allopathy and Ayurvedic remedies. Based on the user's selection and symptoms, the system suggests suitable medicines or herbal treatments. The recommendation process is guided by predefined symptom-drug mappings and expert medical insights to ensure accuracy and reliability. This study highlights how such a system can assist individuals when immediate medical attention is unavailable, when reaching a doctor is difficult, or when dealing with initial-level symptoms. Additionally, it compares our system with existing drug recommendation platforms, emphasizing its ease of use and practical implementation

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recommend, Allopathy, Ayurvedic, Emergency conditions, TF-IDF, Cosine similarity, Symptoms-based, Drug, Remedies

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Food safety is a critical public health concern in India, The need for achieving food security is felt significantly in the recent years.Standards Authority of India (FSSAI), challenges such as lack of enforcement, inadequate consumer awareness, and unethical practices persist. This paper explores the existing food safety issues various challenges to food security in india, identifies key challenges in their implementation, and highlights measures to enhance food quality. Additionally, strengthening regulatory mechanisms and promoting awareness among consumers are crucial for ensuring safe and healthy food consumption in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Food safety, public health, food quality, India, FSSAI, Food Security, Challenges

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid growth of cloud-based applications has led to an exponential increase in various file formats that demand efficient and scalable storage solutions. This project presents a dynamic memory management framework designed for storage and processing of multi-format files in an AWS cloud environment. This framework provides an intelligent and automated approach to file classification, storage and lifecycle management using AWS services such as S3, Lambda, Dynamodb, and CloudWatch. Dynamic adaptation to file types, such as text, images, videos, structured data, and more ensures optimized performance, cost-effectiveness and easy access. Additionally, the framework includes actual monitoring and protocols for improved visibility and control. This solution demonstrates how to integrate cloud-native tools to create flexible and scalable architectures for modern data management challenges in heterogeneous environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Storage, AWS, Multi format File Handling, Dynamic Storage Management, Serverless Architecture, Amazon S3, AWS Lambda

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The biological processes of human beings are governed by an internal mechanism denoted as circadian rhythm which operates on a 24 hour basis. This clock influences sleep patterns, hormone production, digestion, metabolism and a lot else. Not to mention, it significantly affects the way the body reacts to medicines. The time of day at which a medicine is taken - whether for managing blood pressure, asthma, cancer or any other ailment - often determines its efficacy and potency of side effects. This variation happens because the human body metabolizes drugs at different rates throughout the day. The present review examines the body's natural timing in relation to medication, and the necessity to take medicines at certain times for maximal safety, minimal risk, and greater efficiency. It also discusses the development of smart automated drugs and wearables that enable real time monitoring and could synchronize therapy with the patient's body clock. Understanding body rhythm allows treatment customization to ensure personal health care that is efficient.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Circadian rhythm, Chronopharmacology, Chronotherapy, Biological clock, Drug efficacy, Chronomedicine

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This system explores the core principles of client-server (C/S) architecture, emphasizing the role of socket programming in network-based communication. It outlines a structured approach to software design that enables efficient interaction between client and server processes through socket mechanisms. Additionally, it provides practical insights into implementing connection-oriented services. At the transport layer, TCP ensures reliable, sequential data transmission, while IP offers lightweight, connectionless communication, each utilizing distinct socket types. A comprehensive understanding of these protocols, their functions, and their integration within applications is crucial for optimizing network performance. By separating protocol-specific operations from application-level logic, developers can build scalable, secure, and high-performance client-server systems. Moreover, this system explores enhanced features such as a graphical user interface (GUI), video and audio calling, file sharing, and dynamic password authentication for clients. On the server side, security measures, including static login credentials, further strengthen system protection. These elements collectively contribute to a more robust and user-friendly client-server model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Client-Server Architecture, Socket Programming, TCP/IP Protocols, Graphical User Interface (GUI), Dynamic Password Authentication, Real-time communication, Audio and Video Calling, File Sharing, and Real-time Messaging, Java Socket Programming

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Blood donation is a vital healthcare service that saves lives, yet the unavailability of donors at critical moments remains a major challenge. The lack of a centralized and efficient system often leads to delays in finding suitable donors, which can be life threatening. Traditional methods of donor search and blood bank coordination are time-consuming and inefficient, highlighting the need for a digital solution. The paper presents a web-based Blood Donation System (BDS) designed to streamline the donor-recipient connection and improve the accessibility of blood donations. The platform allows individuals to register as donors, making their availability known to hospitals and patients in need. A built-in search function enables users to find donors based on blood type and location, ensuring quicker response times in emergencies. Additionally, donor health information is securely stored in a centralized database, assisting medical professionals in making informed decisions. Unlike conventional methods, the proposed system eliminates communication barriers by facilitating direct interaction between donors and recipients. Hospitals can post blood requests, and the system will identify and notify suitable donors in real time. The approach enhances the efficiency of blood donation services, reducing delays and improving the chances of timely medical intervention. The Blood Donation System provides a user-friendly and accessible interface, ensuring that both donors and hospitals can easily navigate the platform. By leveraging digital technology, the system aims to create a structured and reliable network for blood donation, ultimately contributing to a more responsive and effective healthcare infrastructure.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blood Donation, Web-Based System, XAMPP, PHP, MySQL, Hospital Management, Healthcare Technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agricultural waste mismanagement poses significant environmental and economic challenges. research introduces an innovative farm waste management system leveraging AI-based waste classification, digital waste tracking, and an integrated marketplace for non-disposable waste. Utilizing ONNX-based AI models, location-based recycling recommendations, and educational resources, study demonstrates the effectiveness of technology-driven solutions in reducing pollution and enhancing sustainability in the agricultural sector. The results highlight improved waste management practices, increased awareness among farmers, and a structured approach to farm waste disposal.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Farm Waste Management, AI Waste Classification, Sustainable Agriculture, Recycling, Waste Tracking

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The agricultural sector is often burdened by middlemen and brokers, leading to unfair pricing for farmers and higher costs for consumers. Many farmers struggle to receive a fair value for their produce, while customers face affordable challenges in accessing fresh, healthy fruits and vegetables. This project introduces a digital e-commerce platform to bridge this gap by directly connecting farmers with consumers. By eliminating intermediaries, the platform ensures farmers maximize their earnings, while buyers receive farm-fresh produce at reasonable prices. Farmers can list their produce, set their prices, and sell directly to consumers without relying on third-party distributors. For consumers, the platform offers a direct farm-to-table experience, ensuring high-quality, chemical-free, and organic food options. The integration of demand forecasting and AI-driven recommendations helps both farmers and customers make informed decisions, reducing wastage and optimizing supply chain efficiency. System research evaluates the platform's impact on the economic empowerment of farmers, improved market accessibility, and the overall efficiency of agricultural trade. By leveraging technology to create a sustainable and fair agricultural ecosystem, this project contributes to enhancing food security, promoting transparency, and fostering economic growth in rural communities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce, Agriculture, Agri-Tech, Digital marketplace, Farmer-to-consumer, Supply chain, Agricultural marketing, Rural digitization, Online fruit market, E-grocery, Agriculture innovation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: The rapid advancement of technology has transformed healthcare data management, especially in developing regions where data networks are vital. Research study proposes a cloud-based model for centralized patient data storage, integrating authentication, storage, and cloud messaging to enhance information sharing among healthcare providers. It also introduces Location-Based Services (LBS) for real-time access to nearby medical facilities, utilizing network analysis and the Bidirectional algorithm in ArcGIS to optimize emergency response routes. Additionally, an Android-based medical reminder system is developed to improve doctor-patient interaction and medication adherence through alarms, notifications, and access to medical resources. By combining cloud data management, LBS, and smart reminders, research aims to optimize healthcare delivery, boost patient engagement, and improve health outcomes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Healthcare Data Management, Cloud-Based Model, Patient Data Storage, Data Integration, Cloud Messaging, Location-Based Services (LBS), Emergency Response, Network Analysis, Bidirectional Algorithm, Medical Reminder System, Medication Adherence, Doctor-Patient Interaction, Patient Engagement, Health Outcomes.

  License

Creative Commons Attribution 4.0 and The Open Definition